Uses — Enterprise Semantic Search

Uses

Enterprise Semantic Search

Search is the most-oft cited IT need of enterprises. Semantic search
seeks to improve search accuracy by understanding searcher intent
and the contextual meaning of terms as they appear in the
searchable dataspace. Enterprise
search is the practice of providing search across content from
multiple enterprise-type sources, including documents and
databases, optimally also with Web sources. The Open
Semantic Framework combines these enterprise and semantic
functions.

In operation, these OSF capabilities lead to a number of enterprise
search advantages:

Searches based on the meaning of queries, not specific keywords

The automatic faceting of content by type, concept, or
attributes, which enables powerful filtering and narrowing
capabilities

Inferencing, which means that searches can return broader
results in context

Creation of search profiles, which are reusable search
configurations including faceting and filtering that can also work
as search templates given a specific search context

Ability to boost or adjust search results rankings on all
aspects (datasets, entities, fields, and values) within the
information store

Differential search results depending upon the access rights
and privileges of the requesting searcher

Superior search space navigation and discovery

Ability to do geo-locational based searches

Ability to differentially specify AND and OR operator behavior
based on search context

Easier ability to get counts or auto-completions for any search
field.

Any and all aspects of information managed by OSF can avail
themselves of these search capabilities.

However, despite the importance of search, it is in conjunction
with other knowledge management functions that OSF further shines.
OSF provides broader platform capabilities in: